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461
A Universal and Versatile Zwitterionic Coating for Blood‐Contacting Catheters with Long Lengths and Complex Geometries
Published 2025-05-01“…This study demonstrates a cost‐efficient, mechanically viable, and universal zwitterion coating approach for long and complex catheters with near‐zero fouling, super anticoagulation, and selective biocapturing. …”
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462
Improved RRT-Based Obstacle-Avoidance Path Planning for Dual-Arm Robots in Complex Environments
Published 2025-07-01“…To address the obstacle-avoidance path-planning requirements of dual-arm robots operating in complex environments, such as chemical laboratories and biomedical workstations, this paper proposes ODSN-RRT (optimization-direction-step-node RRT), an efficient planner based on rapidly-exploring random trees (RRT). …”
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463
Simulación numérica del coeficiente de concentración de tensiones en grietas de uniones soldadas a tope//Numerical simulation of the stresses concentration coefficient in cracks bu...
Published 2012-09-01“…With the proposed methodology were obtained graphs and equations that describe the behavior of the stress concentration coefficient in different nodes of the crack. The stress concentration coefficient value it is in correspondence with the defects sizes.…”
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464
Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach
Published 2025-01-01“…Finding Given three movement directions from three locations, we reduce computational complexity in two phases: selecting optimal channels through ensemble learning followed by feature reduction using attention mapping. …”
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465
An IoT intrusion detection framework based on feature selection and large language models fine-tuning
Published 2025-07-01“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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466
A population spatialization method based on the integration of feature selection and an improved random forest model.
Published 2025-01-01“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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467
Passive Frequency Tunability in Moiré-Inspired Frequency Selective Surfaces Based on Full-Wave Simulation
Published 2025-06-01“…This paper presents a simulation-based investigation of passive frequency tunability in frequency-selective surfaces (FSSs) enabled by Moiré pattern interference. …”
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468
Joint Antenna Selection and Proportional Fairness User Scheduling for Multi-User Massive MIMO Systems
Published 2025-04-01“…However, it requires each antenna to be paired with a separate radio frequency (RF) chain, which leads to the need for numerous RF chains in the system, resulting in high hardware costs, increased computational complexity, and elevated power consumption. To address this, antenna selection technology reduces the number of RF chains required, activating only the antennas that correspond to the available RF chains. …”
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469
MEIS-YOLO: Improving YOLOv11 for efficient aerial object detection with lightweight design
Published 2025-06-01“…The core innovation of the model lies in the introduction of a Multi-scale Edge Information Selection (MEIS) module, which selects key features highly relevant to the target detection task from multi-scale features, strengthening the representation of edge information and significantly improving detection performance under conditions of small targets and complex backgrounds. …”
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470
Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load
Published 2017-09-01“… Evaluation and selection of the most appropriate methods for bed-load estimation is necessary because of the sampling difficulties and inaccurate estimations of the empirical equations. …”
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471
A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes
Published 2024-11-01“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. Hence, complex industrial processes often exhibit non-stationary characteristics. …”
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472
Optimizing Cluster Heads for Energy Efficiency in Large-Scale Heterogeneous Wireless Sensor Networks
Published 2010-12-01“…Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. …”
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473
The Impact of Water Tariffs in the Agricultural Sector on Resource Efficiency and Sustainability: From Theory to Practice
Published 2025-05-01“…While increasing irrigation efficiency is among the selected scenarios of the mathematical modeling, it can trigger the behavioral pattern of fixes that fail and, the limit to growth pattern, contribute to the worsening of water scarcity. …”
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474
Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning
Published 2024-12-01Get full text
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475
BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios
Published 2025-01-01Get full text
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476
A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning
Published 2025-08-01“…Abstract To address the issues of slow convergence speed and poor path quality of the traditional Rapidly-exploring Random Tree Star (RRT*) algorithm in complex environments, this paper proposes a Multi Strategy Bidirectional RRT* (MS-BI-RRT*) algorithm for efficient mobile robot path planning. …”
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477
A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles
Published 2025-04-01Get full text
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478
Validation of the Strategy for Determining the Numerical Rating of the Cognitive Complexity of Exam Items in the Field of Chemical Kinetics
Published 2023-12-01“…The strategy was validated using regression analysis from which significant correlation coefficients were obtained between selected variables: students’ achievement and invested mental effort (dependent variables) and a numerical rating of cognitive complexity (independent variable).…”
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479
Monitoring of Energy Efficiency of District Heating System Facilities: Methodology for Determining the Energy Baseline
Published 2022-03-01“…Relevant variables were formed using a three-stage selection of fac-tors that influence the gas consumption efficiency of the boiler house. …”
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480